Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Behavior-Induced Mirror-Prox Temporal-Difference Learning for Faster Off-Policy Prediction
arXiv:2605.28849v1 Announce Type: new Abstract: Gradient temporal-difference methods provide stable off-policy prediction with linear function approximation, but their practical performance…
Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation and Monotonicity
arXiv:2605.28746v2 Announce Type: replace-cross Abstract: This paper studies preference-shaped expected improvement criteria for Bayesian multiobjective optimization. We consider two indicator…
HARP: Hadamard-Preconditioned Adaptive Rotation Processor for Extreme LLM Quantization
arXiv:2605.29843v1 Announce Type: cross Abstract: Post-training quantization (PTQ) is essential for deploying LLMs under memory and bandwidth constraints. However, extreme…
CB-SLICE: Concept-Based Interpretable Error Slice Discovery
arXiv:2605.29836v1 Announce Type: cross Abstract: Despite strong average-case performance, deep learning models often exhibit systematic errors on specific population groups,…
QuITE: Query-Based Irregular Time Series Embedding
arXiv:2605.28166v2 Announce Type: replace-cross Abstract: Irregular Multivariate Time Series (IMTS) are common in practice, yet their irregular sampling complicates effective…
On Language Generation in the Limit with Bounded Memory
arXiv:2605.30324v1 Announce Type: cross Abstract: We study language generation in the limit under bounded memory. In this task, a learner…
PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
arXiv:2605.30126v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) map visual inputs into dense token sequences, imposing a quadratic computational…
AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios
arXiv:2605.27995v2 Announce Type: replace Abstract: Large language model (LLM)-based agents have shown strong capabilities in using external tools to solve…
Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
arXiv:2602.20141v2 Announce Type: replace Abstract: Mean Field Games (MFGs) provide a principled framework for modelling interactions in large population systems.…
The Impact of Semantic Pairs on Self-Supervised Representation Learning
arXiv:2510.08722v3 Announce Type: replace-cross Abstract: Instance discrimination learns visual representations by treating different augmented views of the same image as…